Extract nutrition from meals sent on WhatsApp
Convert a quick meal note into useful nutrition detail automatically.
Trigger
New WhatsApp Message Received
Polling trigger that monitors for new messages received in TimelinesAI WhatsApp chats.
Action
Extract Nutrition Information
Tool to extract nutrition information from text query. use when you need to parse food-related text (e.g., recipes, menus) to calculate corresponding nutrition data.
Why this helps
Nutrition details are hard to calculate when meal descriptions arrive as informal chat text.
- Save manual nutrition research
- Create consistent meal summaries
- Respond faster to food questions
Setup
Build it in a few focused steps.
- 1Connect Timelinesai and Api ninjas in Notis once.
- 2Create an automation instructing Notis to send meal text from each new WhatsApp message to nutrition extraction.
- 3Pick the New WhatsApp Message Received trigger.
- 4Select a report channel.
- 5Test with one real meal description.
Questions about this workflow
Can it handle recipes?
Yes, send recipe or menu text for nutrition extraction.
Does it know serving size automatically?
It uses the details provided in the message and can flag missing serving information.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Timelinesai to Api ninjas. A trigger fires from one place; an action lands in another.
Timelinesai triggers
Api ninjas actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
Timelinesai and Api ninjas, or any other combination from 1,000+ integrations.
When this happens · Trigger
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